← All authors Arthur Gretton University College London (from arXiv:2111.03950, 2021) · ORCID · OpenAlex
25 papers in scope · 24 published · 3 on the econ.EM arXiv · 2,363 citations · h-index 15 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Rahul Singh Liyuan Xu Maneesh Sahani Lifeng Lai Krishnakumar Balasubramanian Edvard Bakhitov Arash Mehrjou Si Kai Lee Anant Raj Masatoshi Uehara Vasilis Syrgkanis Patrick Burauel Krikamol Muandet Yizhen Xu Numair Sani Zihao Li Mengdi Wang Haruo Kakehi Yanhao Jin Andrew Bennett Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (3 of 25)
published 2025 · Bernoulli · 2 citations · first circulated 2021
published 2023 · Biometrika · 6 citations · first circulated 2020
A kernel Stein test for comparing latent variable models
published 2023 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 7 citations · first circulated 2019
Stein’s Method Meets Computational Statistics: A Review of Some Recent Developments
published 2022 · Statistical Science · 27 citations · first circulated 2021
Discussion of ‘Multi-scale Fisher’s independence test for multivariate dependence’
published 2022 · Biometrika · 1 citations
A Kernel Log-Rank Test of Independence for Right-Censored Data
published 2021 · Journal of the American Statistical Association · 5 citations · first circulated 2019
with Tamara Fernández, David Rindt, Dino Sejdinović
Model-based kernel sum rule: kernel Bayesian inference with probabilistic models
published 2020 · Machine Learning · 2 citations · first circulated 2014
working paper 2019 · arXiv · 6 citations
Antithetic and Monte Carlo kernel estimators for partial rankings
published 2019 · Statistics and Computing · 3 citations
with María Lomelí, Mark Rowland, Zoubin Ghahramani
Large-scale kernel methods for independence testing
published 2017 · Statistics and Computing · 96 citations
with Qinyi Zhang, Sarah Filippi, Dino Sejdinović
Monte Carlo Filtering Using Kernel Embedding of Distributions
published 2014 · Proceedings of the AAAI Conference on Artificial Intelligence · 12 citations
31st International Conference on Machine Learning, ICML 2014
published 2014 · International Conference on Machine Learning · 108 citations
with Dino Sejdinović, Heiko Strathmann, Maria Lomeli Garcia, Christophe Andrieu
no link
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
published 2013 · The Annals of Statistics · 595 citations · first circulated 2012
Smooth Operators
published 2013 · International Conference on Machine Learning · 13 citations
with Steffen Grünewälder, John Shawe-Taylor
no link
Kernel Embeddings of Conditional Distributions: A Unified Kernel Framework for Nonparametric Inference in Graphical Models
published 2013 · IEEE Signal Processing Magazine · 212 citations
Modelling transition dynamics in MDPs with RKHS embeddings
published 2012 · International Conference on Machine Learning · 62 citations
with Guy Lever, Luca Baldassarre, Massimiliano Pontil, Steffen Gr new lder, Steffen Grünewälder, Massi Pontil
On the empirical estimation of integral probability metrics
published 2012 · Electronic Journal of Statistics · 238 citations
Kernel Bayes' Rule
published 2011 · Neural Information Processing Systems · 49 citations · first circulated 2010
Hilbert Space Embeddings and Metrics on Probability Measures
published 2010 · Journal of Machine Learning Research · 485 citations · first circulated 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
published 2009 · Neural Information Processing Systems · 159 citations
no link
Nonlinear directed acyclic structure learning with weakly additive noise models
published 2009 · Neural Information Processing Systems · 45 citations
with Peter Spirtes, Robert E. Tillman
no link
Discussion of: Brownian distance covariance
published 2009 · The Annals of Applied Statistics · 24 citations
Temporal kernel CCA and its application in multimodal neuronal data analysis
published 2009 · Machine Learning · 88 citations
with Felix Bießmann, Frank C. Meinecke, Alexander Rauch, Gregor Rainer, Nikos K. Logothetis, Klaus-Robert Müller
Fast Kernel-Based Independent Component Analysis
published 2009 · IEEE Transactions on Signal Processing · 70 citations
with Hao Shen, Stefanie Jegelka
Optimized support vector machines for nonstationary signal classification
published 2002 · IEEE Signal Processing Letters · 48 citations
with Manuel Davy, Arnaud Doucet, P. J. Rayner
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